Reverse 2D-lookup table in Simulink

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Bruce
Bruce on 12 Apr 2025
Edited: VBBV on 13 Apr 2025
I tried to implement a reverse 2D lookup table in Simulink according to the following description by Fangjun Jiang:
First, I wrote the following Matlab code for testing and it does exactly what I expect:
% Absolute eccentricity range
e = 0:1e-06:1.5e-05;
% Piston phase angle range
rad = 0:2*pi/400:2*pi;
% Load capacity matrix
load('Tragkraft_alpha_AK_kpl_V03.mat');
load_cap = Tragkraft_alpha_AK_kpl_V03;
% Instant piston phase angle
rad_dyn = 3.12588469032184;
% Reverse 2D lookup table for load capacity
lookup = interp2(e,rad,load_cap,e,rad_dyn);
% Instant load capacity
load_dyn = 659.331131439451;
% Instant absolute eccentricity
e_dyn = interp1(lookup,e,load_dyn);
After that, I tried to implement it in Simulink using a MATLAB function block with the following code:
function e_dyn = fcn(rad_dyn, load_dyn, load_cap)
% absolute eccentricity range
e = 0:1e-06:1.5e-05;
% piston phase angle range
rad = 0:2*pi/400:2*pi;
% 2D lookup table for load capacity
lookup = interp2(e,rad,load_cap,e,rad_dyn);
% instant absolute eccentricity
e_dyn=interp1(lookup,e,load_dyn);
However, this leads to the following error message that I don't really understand. In my understanding the Simulink model should do exactly the same as the Matlab code. Can anybody tell me how to fix that in Simulink?
  3 Comments
VBBV
VBBV on 13 Apr 2025
Moved: VBBV on 13 Apr 2025
That difference is probably due to Simulink block functionality which puts constraints on input data as opposed to Matlab coder. Moreover you can also use mixed array sizes for interp2 function as you want (scalar) for the purpose of reverse look up table . You can browse through the doc page of interp2 function output argument section for interpolated values (Vq).
Bruce
Bruce on 13 Apr 2025
Edited: Bruce on 13 Apr 2025
Thanks, I just tried that, but it results in the same error message. I still don't understand why the code works in Matlab but not in Simulink.
... attached are the original files for testing (if required)

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Accepted Answer

Bruce
Bruce on 13 Apr 2025
I noticed that there was already an explanation of this issue in the link I mentioned above. The MATLAB function block in the Simulink model requires the following changes in order to work:
  • use of "griddata" instead of "interp2"
  • add "coder.extrinsic('griddata');" at the top of the Matlab function
  • e_dyn = 1; to Initialize the output at the top of the Matlab function
  • change e from a row vector to a column vector
Finally, the code inside the MATLAB function block looks as follows:
function e_dyn = fcn(rad_dyn, load_cap, load_dyn)
coder.extrinsic('griddata');
e_dyn = 1;
% absolute eccentricity range
e = (0:1e-06:1.5e-05)';
% piston phase angle range
rad = 0:2*pi/400:2*pi;
% 2D lookup table for load capacity
lookup = griddata(e,rad,load_cap,e,rad_dyn);
% instant absolute eccentricity
e_dyn=interp1(lookup,e,load_dyn);
Although I have absolutely no idea why this works, the result is the same as the output of the Matlab function, so it seems to make sense. Also, for whatever reason, the output calculation becomes extremely slow.
  1 Comment
VBBV
VBBV on 13 Apr 2025
Edited: VBBV on 13 Apr 2025
Ok. The key thing (line) is invoking the matlab built in function inside the Simulink function block although it was not recommended by @Fangjun Jiang
coder.extrinsic('griddata')
The rest of changes are not significant. You can try the same with interp2

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More Answers (1)

VBBV
VBBV on 12 Apr 2025
@Bruce Xq, Yq must be vectors , in your one is scalar and other is vector.
e = 0:1e-6:1.5e-05
e = 1×16
1.0e-04 * 0 0.0100 0.0200 0.0300 0.0400 0.0500 0.0600 0.0700 0.0800 0.0900 0.1000 0.1100 0.1200 0.1300 0.1400 0.1500
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rad_dyn = 3.12588469032184
rad_dyn = 3.1259
% piston phase angle range
rad = 0:2*pi/400:2*pi
rad = 1×401
0 0.0157 0.0314 0.0471 0.0628 0.0785 0.0942 0.1100 0.1257 0.1414 0.1571 0.1728 0.1885 0.2042 0.2199 0.2356 0.2513 0.2670 0.2827 0.2985 0.3142 0.3299 0.3456 0.3613 0.3770 0.3927 0.4084 0.4241 0.4398 0.4555
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% piston phase angle range rad = 0:2*pi/400:2*pi;
load_cap = rand(401,16)
load_cap = 401×16
0.9390 0.7404 0.0375 0.4748 0.5578 0.6625 0.5913 0.8934 0.5613 0.6913 0.5698 0.7728 0.0915 0.6569 0.2616 0.7420 0.5898 0.3545 0.1735 0.8986 0.2358 0.3774 0.2710 0.3005 0.3594 0.7609 0.9310 0.2273 0.0780 0.8546 0.3428 0.1685 0.7407 0.6071 0.3289 0.3032 0.8605 0.3039 0.3185 0.0074 0.0197 0.2289 0.6588 0.1055 0.7994 0.7097 0.3390 0.9664 0.0773 0.7881 0.2613 0.0009 0.1449 0.3495 0.3655 0.7452 0.7094 0.7467 0.5933 0.4940 0.2385 0.9605 0.5026 0.7729 0.0445 0.4355 0.5632 0.1824 0.6726 0.5115 0.8234 0.6539 0.3724 0.1295 0.5974 0.7898 0.0420 0.1607 0.4936 0.3356 0.8658 0.5376 0.6603 0.7400 0.4651 0.4632 0.2891 0.1489 0.7257 0.9054 0.9649 0.8331 0.3219 0.9556 0.5288 0.6005 0.4665 0.5594 0.4608 0.6730 0.9842 0.8845 0.0180 0.4513 0.4014 0.4267 0.4705 0.8162 0.5023 0.2621 0.2733 0.6841 0.1051 0.8237 0.5663 0.0619 0.1383 0.9129 0.2330 0.1048 0.6653 0.6792 0.1665 0.9511 0.4487 0.1645 0.9818 0.9896 0.1134 0.5379 0.3903 0.0331 0.6306 0.6620 0.4031 0.7992 0.4596 0.3366 0.7462 0.0770 0.5829 0.2536 0.5996 0.1671 0.0019 0.2616 0.1290 0.7993 0.0818 0.5686 0.7396 0.6163 0.9185 0.4611 0.7098 0.9392 0.2135 0.0523 0.2622 0.1000
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lookup = interp2(e,rad,load_cap,e,rad_dyn*ones(1,length(e)))
lookup = 1×16
0.5883 0.9483 0.0752 0.8895 0.3999 0.4260 0.4265 0.6782 0.3920 0.4980 0.5230 0.6050 0.0885 0.7243 0.5768 0.0679
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  1 Comment
Bruce
Bruce on 12 Apr 2025
Thanks for the answer, but then I do not understand why it does work in Matlab with essentially the same code. Futher, providing a scalar as one input is actually the intention of the reverse lookup table. It shall provide one breakpoint as an output based on the table data and a dynamic changing (scalar) breakpoint value as an input.

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